tools · bytedance

verl

Reinforcement-learning library for post-training language models, built around a hybrid controller that separates the RL control flow from the distributed compute, so rollout, reward and update stages can each use a different parallelism strategy and engine. Used for RLHF and verifiable-reward pipelines.